{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T21:01:07Z","timestamp":1774645267316,"version":"3.50.1"},"reference-count":27,"publisher":"SAGE Publications","issue":"11","license":[{"start":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T00:00:00Z","timestamp":1755129600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"the Initializing Fund of Xuzhou Medical University","award":["No.D2020040"],"award-info":[{"award-number":["No.D2020040"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["32100998"],"award-info":[{"award-number":["32100998"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["32201016"],"award-info":[{"award-number":["32201016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the National Science Fund for Excellent Young Scholars","award":["12122510"],"award-info":[{"award-number":["12122510"]}]},{"name":"the Shuangchuang Ph.D award of Jiangsu Province","award":["No. JSSCBS20211265"],"award-info":[{"award-number":["No. JSSCBS20211265"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational Biology"],"published-print":{"date-parts":[[2025,11,1]]},"abstract":"<jats:p>\n                    Radiotherapy (RT) plays a crucial role in tumor treatment, but reliable prognostic biomarkers for patient survival remain limited. To address this gap, we constructed a comprehensive database, RadSpliceDB (\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/radsplicedb.com.cn\">https:\/\/radsplicedb.com.cn<\/jats:ext-link>\n                    ), focusing on splicing isoforms, aiming to identify potential prognostic markers from this perspective. We integrated transcriptome data from patients treated with RT across 24 tumor types in The Cancer Genome Atlas to identify splicing isoforms associated with RT prognosis. We constructed effective prognostic models to validate the potential of the selected isoforms as reliable biomarkers. The database provides comprehensive annotations and functional analyses of these isoforms. RadSpliceDB contains a total of 49,587 splicing events associated with RT prognosis, covering 180,149 splicing isoforms and encompassing various common splicing patterns, such as exon skipping, 3\u2032 splice site, and 5\u2032 splice site. We further evaluated the potential of these splicing isoforms as tumor antigens using VaxiJen v2.0, identifying several candidates with high antigenicity scores. This database not only provides systematic annotations of splicing isoforms to elucidate the mechanisms of RT response but also serves as a valuable resource for identifying potential biomarkers for personalized RT. RadSpliceDB provides essential data support for optimizing RT strategies in cancer treatment.\n                  <\/jats:p>","DOI":"10.1177\/15578666251363380","type":"journal-article","created":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T03:16:06Z","timestamp":1758078966000},"page":"1090-1099","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["RadSpliceDB: A Comprehensive Database of Radiotherapy Prognosis-Related Splicing Isoforms"],"prefix":"10.1177","volume":"32","author":[{"given":"Ling-Yu","family":"Wu","sequence":"first","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China."}]},{"given":"Yan","family":"Shao","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China."}]},{"given":"Yang","family":"Gao","sequence":"additional","affiliation":[{"name":"Department 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China."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3017-0137","authenticated-orcid":false,"given":"Peng-Bo","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, 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